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Proceedings Paper

Alternating update penalized-likelihood image reconstruction for x-ray fluorescence computed tomography
Author(s): Patrick J. La Rivière; Phillip Vargas
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Paper Abstract

In this work, we continue to pursue penalized-likelihood image reconstruction algorithms for X-ray fluorescence computed tomography (XFCT) when the attenuation maps at the energies of the fluorescence X-rays are unknown. Our previous approach, while yielding good results, was somewhat heuristic and did not necessarily correspond to maximization of a predefined penalized-likelihood objective function. Here we present an iterative algorithm that is guaranteed to increase a predefined objective function at each iteration. The approach alternates between updating the distribution of a given element and updating the attenuation map for that element's fluorescence X-rays. We apply the algorithm to simulated numerical data as well as to real synchrotron data.

Paper Details

Date Published: 7 September 2006
PDF: 10 pages
Proc. SPIE 6318, Developments in X-Ray Tomography V, 63180Z (7 September 2006); doi: 10.1117/12.682558
Show Author Affiliations
Patrick J. La Rivière, The Univ. of Chicago (United States)
Phillip Vargas, The Univ. of Chicago (United States)

Published in SPIE Proceedings Vol. 6318:
Developments in X-Ray Tomography V
Ulrich Bonse, Editor(s)

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